/**
 * Copyright (c) Huawei Technologies Co., Ltd. 2022. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef AICPU_KERNELS_LU_UNPACK_GRAD_H_
#define AICPU_KERNELS_LU_UNPACK_GRAD_H_

#include "cpu_kernel/inc/cpu_ops_kernel.h"

namespace aicpu {
class LuUnpackGradCpuKernel : public CpuKernel {
 public:
  ~LuUnpackGradCpuKernel() = default;
  uint32_t Compute(CpuKernelContext &ctx) override;

 private:
  /**
   * @brief compute for all types
   * @param ctx cpu kernel context
   * @return status if success
   */
  template <typename T>
  uint32_t LuUnpackGradCompute(const CpuKernelContext &ctx);

  template <typename T>
  uint32_t TriLU(const CpuKernelContext &ctx, Tensor *L_grad_output, Tensor *U_grad_output, int64_t a);
};
}  // namespace aicpu
#endif
